Cell differentiation processes are achieved through a continuum of hierarchical intermediate cell-states that might be captured by single-cell RNA seq. Existing computational approaches for the assessment of cell-state hierarchies from single-cell data might be formalized under a general workflow composed of i) a metric to assess cell-to-cell similarities (combined or not with a dimensionality reduction step), and ii) a graph-building algorithm (optionally making use of a cells-clustering step). Sincell R package implements a methodological toolbox allowing flexible workflows under such framework. Furthermore, Sincell contributes new algorithms to provide cell-state hierarchies with statistical support while accounting for stochastic factors in single-cell RNA seq. Graphical representations and functional association tests are provided to interpret hierarchies.
Package details |
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Author | Miguel Julia <migueljuliamolina@gmail.com>, Amalio Telenti <atelenti@jcvi.org>, Antonio Rausell <antonio.rausell@isb-sib.ch> |
Bioconductor views | BiomedicalInformatics CellBiology Clustering FunctionalGenomics GeneExpression GeneSetEnrichment GraphAndNetwork ImmunoOncology RNASeq Sequencing SystemsBiology Visualization |
Maintainer | Miguel Julia <migueljuliamolina@gmail.com>, Antonio Rausell<antonio.rausell@isb-sib.ch> |
License | GPL (>= 2) |
Version | 1.22.0 |
URL | http://bioconductor.org/ |
Package repository | View on Bioconductor |
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